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Meteorologist

Millennium Management

London

On-site

GBP 50,000 - 90,000

Full time

30+ days ago

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An established industry player is seeking an exceptionally skilled Meteorologist to enhance their investment strategies through data-driven insights. This role involves analyzing vast datasets, developing advanced numerical weather prediction models, and collaborating closely with investment teams to translate complex data into actionable insights. The ideal candidate will possess strong technical expertise in meteorology and programming, alongside excellent communication skills to effectively convey intricate concepts. Join a dynamic team where your contributions will significantly impact investment decisions and drive innovative solutions in a fast-paced environment.

MS or PhD in Meteorology, Statistics, or related fields required.
2+ years of Python programming and meteorological data experience.

Analyze and manage large datasets from various sources.
Develop high-resolution NWP models for short-term forecasting.
Communicate insights and collaborate with investment teams.

Meteorological Analysis

Statistical Techniques

Python Programming

Communication Skills

Data Management

Numerical Weather Prediction Modeling

SQL Queries

ETL Processes

AI/ML Techniques

MS or PhD in Meteorology

Degree in Statistics, Computer Science, or Applied Mathematics

MPAS

WRF

GRIB

NetCDF

Zarr

Meteorologist

Millennium is looking for an extremely talented Meteorologist to join the team. The successful candidate will combine strong technical skills, insights and statistical techniques to explore, analyze, and harness a large variety of structured and unstructured datasets, in order to build data-centric solutions which give teams an edge in their investment process.The candidate must possess the communications skills needed to not only explain sophisticated statistical and technical techniques in clear simple language, but to also listen and understand problems as explained by investment teams in their vernacular. Principal Responsibilities

Analyze, manage, and store vast amounts of datasets from market to alternative data vendors
Develop high-resolution NWP models such as MPAS and WRF for use across short-term power desks
Interface with broader quant team on weather-related projects such as demand and wind generation modeling
Communicate and provide data insights to investment teams (portfolio managers and analysts)
Write code to tag, clean, and normalize large unstructured and structured datasets
Back test datasets to assess their correlation to company KPIs
Work alongside the data sourcing team to identify new potential data products and vendors
Construct visualization dashboards to present key insights

Qualifications/Skills Required

MS or PhD degree in Meteorology, Statistics, Computer Science, Applied Mathematics, or related field.
At least 2+ years of working experience with meteorological variables, concepts, data providers and industry standard practices
At least 2+ years of programming experience in Python
Experience with weather data types such as GRIB, NetCDF and Zarr
Proficient in writing SQL queries and hands on experience with ETL processes
Expertise in high-resolution numerical weather prediction modeling and data assimilation; experience with AI/ML techniques is a plus
Excellent communicator

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